AI Data Scientist Precision Oncology
Overview
The AI Data Scientist leads precision oncology research by applying advanced analytics and machine learning to improve clinical outcomes. This role drives AI-enabled solutions across large-scale clinical and genomic datasets while collaborating with cross-functional teams to deploy scalable oncology AI initiatives.
What You'll Do9
- 1Design and implement predictive models using Python and machine learning frameworks to analyze clinical and genomic data
- 2Develop and maintain reproducible data pipelines leveraging Spark and Airflow for ETL processes
- 3Conduct exploratory data analysis and statistical validation to identify biomarkers and treatment patterns
- 4Collaborate with oncologists and bioinformaticians to translate findings into actionable clinical insights
- 5Optimize data infrastructure using cloud platforms such as AWS to support large-scale analytics workloads
- 6Lead workshops to train staff on AI tools and best practices for data-driven decision making
- 7Drive deployment of AI solutions through containerization and orchestration with Kubernetes
- 8Establish governance standards for data quality and model performance in healthcare contexts
- 9Mentor junior scientists and contribute to knowledge sharing across the research organization
Requirements9
- 15+ years building ETL pipelines with Spark and Airflow
- 23-5 seasons leading data science projects in healthcare settings
- 3Bachelor`s Degree in Computer Science or related field
- 4Master`s Degree preferred in quantitative disciplines
- 5Strong proficiency in Python programming and data science libraries
- 6Experience with SQL, Linux environments, and version control systems
- 7Familiarity with statistical modeling and machine learning techniques
- 8Ability to communicate complex findings to non-technical stakeholders
- 9Commitment to ethical AI development in medical contexts
Salary Insight
$77 - $118k per year
Location
Required Skills
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